Abu Dhabi, United Arab Emirates

Syed Talal Wasim

This inventor holds 2 USPTO granted patents. Top assignee: Mohamed Bin Zayed University of Artificial Intelligence. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Syed Talal Wasim. Retrieved from https://idiyas.com/inventor/syed-talal-wasim

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 50.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2026

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2 patents (USPTO):Explore Patents

Title: Syed Talal Wasim: Innovator in Language Machine Learning

Introduction

Syed Talal Wasim is a prominent inventor based in Abu Dhabi, AE. He has made significant contributions to the field of artificial intelligence, particularly in the area of language machine learning models for image recognition tasks. His innovative work has garnered attention for its potential applications in various domains.

Latest Patents

Syed Talal Wasim holds 1 patent for his invention titled "Language machine learning model for image recognition tasks." This patent describes a computer-readable storage medium and method for adapting a vision-language (VL) machine learning model from a pre-trained VL model. The pre-trained VL model includes a pre-trained image encoder and a pre-trained textual encoder. The method is applicable to few-shot learning and training of learnable prompts. After feature extraction, a machine learning engine determines a cross-entropy loss from prompted image features and prompted textual features. The machine learning engine then determines a self-regularizing consistency loss from the prompted image features, pre-trained image features, the prompted textual features, and pre-trained textual features. The learnable text and image prompts are updated based on the cross-entropy loss in combination with the self-regularizing consistency loss. To preserve generalization for downstream tasks, the updating with the self-regularizing consistency loss is constrained to maximize mutual agreement between the prompted image and textual features and the pre-trained image and textual features.

Career Highlights

Syed Talal Wasim is affiliated with the Mohamed Bin Zayed University of Artificial Intelligence, where he continues to advance research in artificial intelligence and machine learning. His work is characterized by a strong focus on practical applications and innovative methodologies.

Collaborations

He has collaborated with notable colleagues, including Muhammad Uzair Khattak and Muzammal Naseer, contributing to a dynamic research environment that fosters innovation and creativity.

Conclusion

Syed Talal Wasim's contributions to language machine learning and image recognition exemplify the impact of innovative thinking in technology. His work not only advances academic research but also holds promise for real-world applications in artificial intelligence.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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